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Brief report: Validation of a quantitative HIV risk prediction tool using a national HIV testing cohort
Jason S Haukoos1, Emily Hopkins, Meggan M Bucossi
1*Department of Emergency Medicine, Denver Health Medical Center, Denver, CO; †Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, CO; ‡Department of Epidemiology, Colorado School of Public Health, Aurora, CO; §Department of Emergency Medicine, University of Cincinnati College of Medicine, Cincinnati, OH; ‖Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; ¶Department of Emergency Medicine, Alameda County Medical Center, Oakland, CA; #Department of Emergency Medicine, University of California San Francisco, San Francisco, CA; **Denver Public Health, Denver, CO; ††University of Colorado College of Nursing, Aurora, CO; ‡‡Department of Clinical Pharmacy, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, CO; §§Department of Patient Safety and Quality, Denver Health Medical Center, Denver, CO; ‖‖Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO; and ¶¶Department of Medicine, University of Colorado School of Medicine, Aurora, CO.
Abstract:
Routine screening is recommended for HIV detection. HIV risk estimation remains important. Our goal was to validate the Denver HIV Risk Score using a national cohort from the Centers for Disease Control and Prevention. Patients of 13 years and older were included, 4,830,941 HIV tests were performed, and 0.6% newly diagnosed infections were identified. Of all visits, 9% were very low risk (HIV prevalence = 0.20%), 27% low risk (HIV prevalence = 0.17%), 41% moderate risk (HIV prevalence = 0.39%), 17% high risk (HIV prevalence = 1.19%), and 6% very high risk (HIV prevalence = 3.57%). The Denver HIV Risk Score accurately categorized patients into different HIV risk groups.
